Overview


According to FutureWise analysis the market for artificial intelligence in digital pathology in 2023 is US$ 0.33 billion, and is expected to reach US$ 1.77 billion by 2031 at a CAGR of 17.00%.

The integration of AI and digital pathology has provided pathologists with a validation tool or supplementary analysis tool to implement image analytics by processing more slides in a shorter time period. This can assist pathologists in focusing on specific regions and thus improving the efficiency of final outcomes. The use of artificial intelligence in digital pathology will alter the overall patient experience by providing devices and apps with access to electronic health records, radiology images, and other data, allowing patients to become more engaged with their treatment.

Conventional pathology methods have been crucial in diagnosing, evaluating protein expression semi-qualitatively or qualitatively, and categorizing diseases. Recent developments in digital pathology-based approaches for quantitative pathologic assessments, such as whole slide imaging and artificial intelligence (AI)-based solutions, have been made possible by technological advancements and a greater emphasis on precision medicine. These approaches enable us to explore and extract information that is invisible to the human eye. The use of such approaches in drug development and translational research within the field of immuno-oncology has produced priceless prospects for unraveling complex pathophysiology and finding novel biomarkers and therapeutic targets. Practitioners face a rising issue in determining which course of action is best for each patient as there are more and more treatment options accessible for every particular ailment. Since AI-based methods are increasingly used, professionals understanding of the tumor microenvironment is being expanded significantly. Digital methods for patient stratification and selection for diagnostic tests also enable the determination of the best treatment plan based on patient profiles.

FutureWise Market Research has published a report that provides an insightful analysis of artificial intelligence in digital pathology market trends that are affecting the overall market growth. This report will provide a detailed analysis of market share, regional insights, and competitor analysis that includes stature of key manufacturers operational in this industry. According to the analysis conducted by FutureWise research analysts, the artificial intelligence in digital pathology market is estimated to register a considerable growth rate over the forecast period. This report lists the market segments and potential prospects available across this industry, in addition providing crucial information on the total valuation currently held by the industry. Moreover, this report will assist key management individuals in an organisation to enhance their decisions pertaining to business expansion as well as strategic changes for increasing customer base.

As the demand for pathology services grows, so does the use of technological advances to automate and digitise healthcare procedures. In recent years, these advancements have accelerated research and clinical diagnosis, as well as improved patient outcomes. One such technology is AI-powered digital imaging, which has transformed the pathology industry by enabling high-throughput scanning of patient samples. To put it another way, AI-based digital pathology / AI pathology entails collecting, managing, analysing, and sharing data (via digital slides) in a digital setting. By scanning conventional glass slides with a scanning device, digital slides are created that can be viewed on a computer screen or a mobile device and provide a high-resolution digital image. Furthermore, AI pathology offers a viable solution for managing the growing pathology workload while also ensuring more rapid and consistent diagnostic services and research activities. Besides that, AI-powered digital pathology solutions (digital pathology scanners and software) enable pathologists to examine more cases and provide more precise diagnoses. As the utilization of AI is increased it also has become problematic for pathologist to handle the technology. Pathologists in hospitals, previously received glass slides and viewed them with a light microscope, but now they must learn an AI-based method to view diagnostic results. Up to 50% of pathologists are concerned about signing reports based solely on digital slides, and they are concerned about reporting without the instrument that has long been associated with their profession. This factor can be viewed as a challenge for the market due to the decrease in the number of pathologists working in digital pathology.

  • Roche
  • Leica Biosystems
  • Hamamatsu Photonics
  • Koninklijke Philips
  • 3D Hsitech
  • Apollo Enterprises Imaging
  • Xifin
  • Huron Digital Pathology
  • Vision pharm
  • Corista
  • Indica Labs
  • Objective Pathology Services

(Note: The list of the major players will be updated with the latest market scenario and trends)

By Neural Network Type

  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Generative Adversarial Networks
  • MVPNet
  • Reinforced Auto Zoom Net

By Product

  • Scanners
  • Software
  • Communication Systems
  • Storage Systems

By Type

  • Human Pathology
  • Veterinary Pathology

By Application

  • Teleconsultation
  • Disease Diagnosis
  • Drug Discovery
  • Training and Education

By End User

  • Pharmaceutical and Biotechnology Companies
  • Hospitals and Reference Laboratories
  • Academic and Research Institutes

By Region

  • North America
  • Latin America
  • Europe
  • Asia-Pacific
  • Middle East and Africa

This market research report also emphasis on factors affecting the growth rate in various regions listed above. A deep-down analysis of region will also be provided in the final version of this market which is based on conclusion of primary interviews and secondary data point gathered during the process.

By region, the market is segmented into North America, Latin America, Europe, Asia-Pacific, and Middle East & Africa. North America registered highest share in the market in 2022. Due to advancements in healthcare infrastructure, an increase in per capita income, and the location of leading research institutions and labs, North America holds the greatest share of the global market for AI-based digital pathology solutions. The ongoing investment in research and development, the use of digital photography, encouraging government programs, and the presence of well-known enterprises in the region are all fuelling the growth of the North American market. The acceptance of a digital pathology-focused AI-based tool created to detect invasive breast cancer and skin lesions for usage by AI-based, digital pathology-focused companies is another driver boosting the North American industry.


  • Tier 1 players- established companies in the market with a major market share
  • Tier 2 players
  • Emerging players which are growing rapidly
  • New Entrants
  • Growth prospects
  • SWOT analysis
  • Key trends
  • Key data-points affecting market growth
  • To provide with an exhaustive analysis on the Artificial Intelligence in Digital Pathology Market By Neural Network Type, By Product, By Type, By Application, By End User and By Region.
  • To cater comprehensive information on factors impacting market growth (drivers, restraints, opportunities, and industry-specific restraints)
  • To evaluate and forecast micro-markets and the overall market
  • To predict the market size, in key regions— North America, Europe, Asia Pacific and Middle East and Africa
  • To record and evaluate competitive landscape mapping- product launches, technological advancements, mergers and expansions
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Table of Contents


  • 1.   Market Introduction
    •   1. Objectives of the Study
        2. Market Definition
        3. Market Scope
         3.1. Years Considered for the Study
         3.2. Market Covered
        4. Currency
        5. Limitations
        6. Stakeholders
  • 2.   Research Methodology
    •   1. Research Data
         1.1. Secondary Data
          1.1.1. Key Data from Secondary Sources
         1.2. Primary Data
          1.2.1. Key Data from Primary Sources
        2. Market Size Estimation
        3. Market Breakdown and Data Triangulation
        4. Assumptions for the Study
  • 3.   Executive Summary
    •   1. Market Outlook
        2. Segment Outlook
        3. Competitive Insights
  • 4.   Artificial Intelligence in Digital Pathology Market Variables, Trends and Scope
    •   1. Market Lineage Outlook
        2. Penetration and Growth Prospect Mapping
        3. Industry Value Chain Analysis
        4. Cost Analysis Breakdown
        5. Technology Overview
        6. Regulatory Framework
         6.1. Reimbursement Framework
         6.2. Standards and Compliances

  • 5.   Market Overview
    •   1. Market Dynamics
         1.1. Market Driver Analysis
          1.1.1. Increasing focus of Artificial Intelligence in Digital Pathology Market Companies on Brand Protection
          1.1.2. Untapped Opportunities in Emerging Regions
         1.2. Market Restraint Analysis
          1.2.1. High Cost Associated with Implementation of Predictive Analysis
         1.3. Industry Challenges
          1.3.1. Presence of Ambiguous Regulatory Framework
  • 6.   Artificial Intelligence in Digital Pathology Market Analysis Tools
    •   1. Industry Analysis - Porter’s
         1.1. Supplier Power
         1.2. Buyer Power
         1.3. Substitution Threat
         1.4. Threat from New Entrants
         1.5. Competitive Rivalry
        2. Pestel Analysis
         2.1. Political Landscape
         2.2. Environmental Landscape
         2.3. Social Landscape
         2.4. Technology Landscape
         2.5. Legal Landscape
        3. Major Deals And Strategic Alliances Analysis
         3.1. Joint Ventures
         3.2. Mergers and Acquisitions
         3.3. Licensing and Partnership
         3.4. Technology Collaborations
         3.5. Strategic Divestments
        4. Market Entry Strategies
        5. Case Studies
  • 7.   Artificial Intelligence in Digital Pathology Market, By Neural Network Type Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Convolutional Neural Networks
        2. Recurrent Neural Networks
        3. Generative Adversarial Networks
        4. MVPNet
        5. Reinforced Auto Zoom Net

  • 8.   Artificial Intelligence in Digital Pathology Market, By Product Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Scanners
        2. Software
        3. Communication Systems
        4. Storage Systems

  • 9.   Artificial Intelligence in Digital Pathology Market, By Type Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Human Pathology
        2. Veterinary Pathology

  • 10.   Artificial Intelligence in Digital Pathology Market, By Application Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Teleconsultation
        2. Disease Diagnosis
        3. Drug Discovery
        4. Training and Education

  • 11.   Artificial Intelligence in Digital Pathology Market, By End User Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Pharmaceutical and Biotechnology Companies
        2. Hospitals and Reference Laboratories
        3. Academic and Research Institutes

  • 12.   North America Artificial Intelligence in Digital Pathology Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. U.S.A
         2.2. Canada
         2.3. Mexico
        3. Market Size (USD Million) Forecast for North America 2023-2031

  • 13.   Latin America Artificial Intelligence in Digital Pathology Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. Brazil
         2.2. Venezuela
         2.3. Argentina
         2.4. Rest of Latin America
        3. Market Size (USD Million) Forecast for Latin America 2023-2031

  • 14.   Europe Artificial Intelligence in Digital Pathology Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. Germany
         2.2. U.K
         2.3. France
         2.4. Italy
         2.5. Spain
         2.6. Russia
         2.7. Poland
         2.8. Rest of Europe
        3. Market Size (USD Million) Forecast for Europe 2023-2031

  • 15.   Asia Pacific Artificial Intelligence in Digital Pathology Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. Japan
         2.2. China
         2.3. India
         2.4. Australia and New Zealand
         2.5. ASEAN
         2.6. Rest of Asia Pacific
        3. Market Size (USD Million) Forecast for Asia Pacific 2023-2031

  • 16.   Middle East and Africa Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. GCC
         2.2. Israel
         2.3. South Africa
         2.4. Rest of MEA
        3. Market Size (USD Million) Forecast for MEA 2023-2031

  • 17.   Market Share Analysis and Competitive Landscape
    •   1. Global Landscape - Key Players, Revenue and Presence
        2. Global Share Analysis - Key Players (Tier 1, Tier 2, Tier 3)
        3. Global Emerging Companies
        4. North America - Market Share Analysis and Key Regional Players
        5. Europe - Market Share Analysis and Key Regional Players
        6. Asia Pacific - Market Share Analysis and Key Regional Players
        7. Global Key Player - Growth Matrix
  • 18.   Company Profiles (Competition Dashboard, Competitors Deep Dive, Products Offered and Financial Layouts)
    •   1. Roche
         1.1. Company Overview
         1.2. Product Portfolio
         1.3. SWOT Analysis
         1.4. Financial Overview
         1.5. Strategic Overview
        2. Leica Biosystems
         2.1. Company Overview
         2.2. Product Portfolio
         2.3. SWOT Analysis
         2.4. Financial Overview
         2.5. Strategic Overview
        3. Hamamatsu Photonics
         3.1. Company Overview
         3.2. Product Portfolio
         3.3. SWOT Analysis
         3.4. Financial Overview
         3.5. Strategic Overview
        4. Koninklijke Philips
         4.1. Company Overview
         4.2. Product Portfolio
         4.3. SWOT Analysis
         4.4. Financial Overview
         4.5. Strategic Overview
        5. 3D Hsitech
         5.1. Company Overview
         5.2. Product Portfolio
         5.3. SWOT Analysis
         5.4. Financial Overview
         5.5. Strategic Overview
        6. Apollo Enterprises Imaging
         6.1. Company Overview
         6.2. Product Portfolio
         6.3. SWOT Analysis
         6.4. Financial Overview
         6.5. Strategic Overview
        7. Xifin
         7.1. Company Overview
         7.2. Product Portfolio
         7.3. SWOT Analysis
         7.4. Financial Overview
         7.5. Strategic Overview
        8. Huron Digital Pathology
         8.1. Company Overview
         8.2. Product Portfolio
         8.3. SWOT Analysis
         8.4. Financial Overview
         8.5. Strategic Overview
        9. Vision pharm
         9.1. Company Overview
         9.2. Product Portfolio
         9.3. SWOT Analysis
         9.4. Financial Overview
         9.5. Strategic Overview
        10. Corista
         10.1. Company Overview
         10.2. Product Portfolio
         10.3. SWOT Analysis
         10.4. Financial Overview
         10.5. Strategic Overview
        11. Indica Labs
         11.1. Company Overview
         11.2. Product Portfolio
         11.3. SWOT Analysis
         11.4. Financial Overview
         11.5. Strategic Overview
        12. Objective Pathology Services
         12.1. Company Overview
         12.2. Product Portfolio
         12.3. SWOT Analysis
         12.4. Financial Overview
         12.5. Strategic Overview

  • 19.   Pre and Post COVID-19 Impact
    •   1. Positive influence on the healthcare industry
        2. The financial disruption of the manufacturing sector
        3. Impact of COVID-19 on emerging companies
        4. Significant mandates in the healthcare regulations initiated by
                  administrations
        5. The overall economic slowdown of the developing and developed nations

  • 20.   FutureWise SME Key Takeaway Points for Client
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